251 results about "Inventory management system" patented technology

A real-time inventory management system that includes: a centralized control platform module configured to receive, consolidate, and process inventory data from multiple sources, including warehouses, retail stores, and distribution centers; an IoT and sensor module with RFID tags, barcode scanners, and smart sensors configured to track inventory items, monitor environmental conditions, and update inventory records in real time; a machine learning and demand forecasting module configured to analyze historical inventory data, market trends, and external factors to predict future demand and optimize inventory levels; an automatic replenishment and replenishment module configured to dynamically generate and execute replenishment orders based on real-time inventory levels and forecasted demand; a data integration and synchronization module configured to enable seamless communication and data synchronization with external systems, including Enterprise Resource Planning (ERP) platforms and supplier networks; a user interface and dashboard module configured to display real-time inventory status, actionable insights, and key performance indicators (KPIs) for decision-making.

A system for real-time creditworthiness assessment of small and medium-sized enterprises (SMEs) based on agent-based artificial intelligence (AI), the system includes: a large number of autonomous agents connected to each other via secure communication protocols; a data ingestion processing unit configured to capture and preprocess heterogeneous data streams from structured and unstructured sources, including APIs for financial transactions, tax databases, e-invoicing registers, inventory management systems, social sentiment feeds, and IoT-enabled devices, with preprocessing including schema harmonization, anomaly detection, and encryption-based integrity preservation; an ensemble of scoring control units configured to generate dynamic credit scores, wherein the ensemble includes machine learning models, including gradient-enhanced decision trees, recurrent neural networks, and graph neural networks, the graph neural networks being configured to assess relational dependencies between SMEs, suppliers, and customer nodes in a business ecosystem; an audit controller configured to generate regulatory-compliant justification paths for each credit score; a feedback processing unit configured to update the evaluation control unit ensemble using reinforcement learning signals derived from observed repayment behavior, payment default trends, and fraud detection markers; and a user interface configured to display timestamped credit histories, confidence intervals and explanatory justifications, with the entire system running on a containerized cloud-native infrastructure with blockchain-based ledgers for version control of each point update.

According to some embodiments, a method includes accessing yard check data received from a plurality of sources. The yard check data includes a unit identification number of a particular shipping container of a plurality of shipping containers, a location of the particular shipping container within a container yard, and a confidence level. The method further includes storing the unit identification number and the location of the particular shipping container in a unit inventory of an inventory database. The method further includes comparing the confidence level of the particular message to a confidence threshold for the particular source. The method further includes electronically communicating, across a communications network, the unit identification number and the location of the particular shipping container for storage in a production database when the confidence level of the particular message exceeds the confidence threshold for the particular source.

A system for personalized product recommendations in an e-commerce platform, comprising: a user data collection module configured to collect browsing history, purchase records, search queries, and demographic information; a data preprocessing module configured to apply cleaning, feature extraction, and natural language processing (NLP) techniques to structure raw data; a product information management module configured to extract, classify, and update product attributes using NLP and image recognition; a recommendation engine that uses machine learning models, including collaborative filtering, content-based filtering, and deep learning techniques, configured to generate personalized product recommendations; a contextual filtering module configured to dynamically refine recommendations based on real-time factors such as user location, device type, and market trends; a feedback learning module configured to continuously update recommendation models using user ratings, reviews, and engagement metrics; and an API integration module configured to enable seamless connectivity with third-party e-commerce applications, inventory management systems, and analytics tools.

The invention provides an EAM equipment full life cycle management method and system, and relates to the technical field of equipment life cycle management. According to the invention, a full life cycle management system integrating multi-source data fusion, physical constraint driven intelligent prediction and root cause diagnosis, environment working condition adaptive maintenance strategy matching, multi-physics field simulation evaluation and multi-target optimization scheduling is constructed, so that accurate perception of states of key parts of equipment and life prediction are realized; the accuracy of fault diagnosis and the adaptability of a maintenance scheme are improved, and maintenance resource configuration and inventory management are optimized. The system has a dynamic adaptive optimization capability, and can continuously improve a maintenance strategy and a prediction model according to actual operation feedback, so that the reliability and the maintenance efficiency of equipment operation are remarkably improved, the overall maintenance cost is reduced, and the high-standard requirement of intelligent equipment management in a complex industrial environment is met.

The invention, which relates to the technical field of intelligent inventory management, discloses an intelligent inventory management system for household appliance spare and accessory parts, comprising a problem diagnosis module used for generating an inventory management first-level problem label and an inventory management second-level problem label; the intelligent demand prediction module is used for carrying out classification demand prediction according to the problem label generated by the problem diagnosis module and carrying out dynamic parameter adjustment on a prediction value; the dynamic classification management module is used for carrying out intelligent warehouse division, supplier collaborative optimization and digital agreement on the household appliance spare and accessory parts; and the intelligent storage module is used for upgrading hardware and carrying out software integration operation. According to the invention, historical data, market trend and seasonal fluctuation are utilized to accurately predict the requirements of spare and accessory parts. Classification is performed according to the value and demand fluctuation of the spare and accessory parts, and fine management is implemented. Through a VMI + JMI mixed mode, a supply chain is optimized to be cooperatively combined with an RFID technology and automatic storage equipment, so that the warehouse management efficiency is improved.

An inventory management system for managing inventory ownership in a shared inventory space is described. The system includes receivers configured to receive data from sources external to the inventory management system. Transmitters are configured to transmit data to sources external to the inventory management system. A bundle generation is configured to receive transfer data from a first user via the one or more receivers indicating a group of items to be made available for a transfer of ownership. The transfer of ownership of the group of items is to be made as a single transaction. The system processes the received transfer data and generates a bundle data record of data parameters based on the transfer data. A transaction management processor provides information identifying available groups of items available for transfer of ownership and a transaction fulfilment processor provide the item data to the transaction management processor.

The invention discloses a hospital pharmacy inventory intelligent management system and method, and belongs to the technical field of data management. Medicine basic information and multiple batches of inventory records are acquired; an application risk grade R is extracted based on the medicine application label; combining the remaining validity period, the stability parameter and the risk factor to construct a batch ex-warehouse priority scoring model P; generating a sorting ex-warehouse list and executing allocation and ex-warehouse operation; when it is monitored that the medicine is in time or the inventory is abnormal, dynamically adjusting the score and updating the sorting result; according to the invention, fine control of the drug delivery sequence can be realized, clinical availability of high-risk-purpose drugs is guaranteed preferentially, and inventory use efficiency and medication safety are improved at the same time.

The invention relates to the technical field of information management, and discloses an adaptive decision logistics product management method. Comprising the steps of integrating a heterogeneous data cleaning algorithm, performing feature extraction and standardization on structured and unstructured data by adopting a Transform-based cross-modal alignment model, and embedding an anomaly detection model; a self-adaptive rule generator based on reinforcement learning constructs a reward function, and dynamically optimizes a subsidy rule strategy; a time sequence prediction model is combined to predict a future work clothes application demand trend, and an inventory management system is linked to realize a pre-distribution strategy; a graph neural network is adopted to construct an organizational structure knowledge graph, and an optimal approval path is generated; an approval risk prediction model is introduced, approval risks are predicted, and a grading early warning mechanism is triggered; generating a personalized chemical clothes recommendation list based on a mixed recommendation model of collaborative filtering and a knowledge graph; integrating a computer vision model, and automatically matching the size of the work clothes; the method has the advantages of improving employee satisfaction and reducing company cost.

The invention discloses access equipment and method for a full-automatic germplasm resource medium-term library, and the equipment comprises a germplasm storage shelf which is disposed in the medium-term library; the automatic access robot is arranged in the medium-term warehouse; the connection conveying line is arranged in the middle-stage warehouse, the front chamber conveying system is arranged in a front chamber of the middle-stage warehouse, an automatic pre-cooling cabinet and an automatic recovery cabinet are arranged in the front chamber of the middle-stage warehouse, and a material box is conveyed to the automatic pre-cooling cabinet, the automatic recovery cabinet and a warehouse door of the middle-stage warehouse through the front chamber conveying system; the operation room conveying system is arranged corresponding to the front chamber conveying system; the sorting mechanism is mounted in the middle-stage warehouse front chamber; an inventory management system; the storage positions of the germplasm storage shelves are respectively provided with an RFID tag. Through cooperation of the automatic storing and taking robot and the connection conveying line, automatic storing and taking of a whole box, a single germplasm bottle and a plurality of germplasm bottles with discontinuous warehousing numbers are achieved, and the working efficiency is improved.

The invention relates to the technical field of Internet of Things and warehouse management, in particular to a physical block chain inventory management method and system based on physical state hash and a multi-node collaborative bookkeeping mechanism. The system is composed of a plurality of intelligent nodes with sensing and computing capabilities, and each terminal can be bound with a specific real object and sense the state (including posture, temperature, position, binding state and the like) of the specific real object. A set of distributed and chained physical state change log mechanism is constructed by periodically generating physical state hash abstracts and synchronizing with a cloud end through a local area network in the same area. By combining an intelligent contract binding function, dynamic mapping and expiration management and control of a real object and management authority are realized, a Byzantine fault-tolerant characteristic is realized, and credibility and traceability of a storage state can still be guaranteed under the condition of node missing, dismantling or abnormity. The system can be widely applied to logistics, storage, asset supervision, pledge finance and other scenes, and provides hardware-level basic support for constructing a credible inventory management system.

The invention provides an intelligent kitchen system for a ship. The intelligent kitchen system comprises a central control system, an intelligent meal ordering system, an intelligent inventory management system and an intelligent cooking system, the central control system is respectively connected with the intelligent meal ordering system, the intelligent inventory management system and the intelligent cooking system, and is used for monitoring and managing the intelligent meal ordering system, the intelligent inventory management system and the intelligent cooking system; the intelligent meal ordering system is used for receiving meal ordering information of personnel on the ship and transmitting the meal ordering information to the central control system; the intelligent inventory management system is used for providing types, quantity and weight information of inventory food materials to the central control system and receiving control information of the central control system to prepare the food materials; the intelligent cooking system is used for receiving the food materials from the intelligent inventory management system and receiving the control information of the central control system for cooking. By adopting the intelligent kitchen system for the ship, unmanned cooking of a kitchen for the ship can be met, and the taste, nutrition and health requirements of personnel on the ship can be met.

The invention provides an automatic inventory management system for an oil tank truck, and relates to the technical field of control and regulation systems, and the system can quickly and reasonably respond to guarantee system safety and oil quality through a graded water level alarm strategy when sealing leakage risks of different degrees occur to a tank body; the sealing leakage influence factor generation module comprehensively evaluates the sealing state of the tank body and detects the leakage risk by collecting multiple parameters such as air pressure difference, humidity and VOC concentration; the target wave-proof partition plate determination module dynamically adjusts an oil product monitoring mode according to the real-time inclination data, and overcomes measurement errors caused by inclination; the fluctuation range simulation and comparison module provides an anomaly detection and alarm mechanism through comparative analysis of actual and simulated data; the introduction of the correction index enables the water level alarm strategy to be more targeted and accurate, reduces the false alarm rate, and improves the real-time accuracy and safety of oil inventory management.

The invention discloses a mobile information asset inventory management system based on a parallel chain, and relates to the technical field of information asset management, the mobile information asset inventory management system comprises a main chain, the parallel chain, a cross-chain interaction module, a management platform, a mobile terminal and an asset label, and the main chain stores asset metadata, core transaction records, a cross-chain protocol and an authority token. In the invention, the system records the core metadata, the state change and the core transaction log of the assets through the main chain, the whole process chain evidence storage of the assets from warehousing, checking and transfer to recovery is realized, all data are encrypted and written in in a block form, the integrity and the non-tampering property of the data are ensured, a credible basis is provided for asset supervision and audit analysis, and the asset management and audit efficiency is improved. The parallel chain adopts an authorized Byzantine fault-tolerant consensus mechanism, has the processing capability of more than 1500 transactions per second, and is matched with a reinforcement learning dynamic allocation module to generate an optimal inventory task allocation scheme according to seven dimensions such as asset state, personnel position and task load, so that the task execution efficiency is remarkably improved.

The invention discloses a natural resource asset checking management system and method based on a cross-platform architecture, and relates to the technical field of resource management, and the system comprises a cross-platform adaptive architecture module, a real-time data synchronization and verification module and an intelligent analysis and multi-dimensional visualization module. The cross-platform adaptive architecture module carries out fragmentation preprocessing on collected data through a uniform interface abstraction layer, a dynamic adaptation layer, a cross-platform rendering engine and a platform difference compensation mechanism and the real-time data synchronization and verification module, and the transmission efficiency is optimized through multi-link transmission and dynamic path selection. And the timeliness and accuracy of data synchronization are ensured in combination with block chain hash check and conflict detection. According to the system, through cross-platform adaptation, efficient data synchronization and intelligent visual analysis, the efficiency and scientificity of natural resource asset checking management are remarkably improved.

The invention provides a component intelligent warehouse inventory accurate management system based on the Internet of Things, and relates to the technical field of automatic control, and the method comprises the steps: generating an associated data message through data fusion calculation according to environment parameters and physical attribute characteristic data; based on the associated data, when the environment parameters trigger a preset low-temperature condition, generating a first regulation and control instruction for adjusting the working mode of the RFID reader-writer so as to obtain a real-time working state frame returned by the reader-writer; and according to a real-time working state frame returned by the reader-writer and a material box physical attribute feature database, the initial storage position information of the target material box is converted into a unique space code, and a three-dimensional grid unit area to which the target material box belongs is determined according to the space code. According to the invention, precise and intelligent management of component warehouse inventory is realized.

The invention discloses an inventory management system comprising a request receiving module used for receiving an inventory operation request of a peripheral system; the parameter verification module is connected with the request receiving module; the processing mode decision module is connected with the parameter verification module; the distributed lock control module is connected with the processing mode decision module; the cache preheating module is connected with the distributed lock control module; and the strategic calculation module is connected with the cache preheating module. Through modular design, high performance, high expansibility, high consistency and high reliability of the inventory management system are realized, the request receiving and parameter verification module ensures that data are accurate, the processing mode decision module flexibly deals with different scenes, the distributed lock control and cache preheating module improves the concurrent processing capability, and the distributed lock control and cache preheating module improves the performance of the inventory management system. And the strategic calculation module enhances the flexibility of the system.

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.

The invention relates to the technical field of inventory management, in particular to a hospital orthopaedic consumable inventory management system and method based on behavior recognition, and the method achieves the real-time monitoring of the taking and supplement of consumables through the behavior recognition technology: when a medical worker enters a consumable warehouse, the behavior of the medical worker is automatically captured; and analyzing actions in real time through a built-in behavior identification model, identifying the operation type, determining the type and the number of specifically taken consumables through association with RFID tags on the consumables, then generating a consumable operation information group, generating an operation identifier and a second identifier auxiliary generation factor, and calculating an identifier auditing factor by the system, and the operation behavior of the medical personnel is audited through the relationship between the second identification auxiliary generation factor and the auditing factor, and the inventory information is automatically updated. According to the invention, real-time and automatic inventory updating is realized, manual intervention is not needed, operation errors are greatly reduced, and the efficiency and accuracy of hospital orthopaedic consumable management are improved.

The invention provides a chemical industry-oriented multi-scale multi-dimensional intelligent production scheduling method and system, and the method comprises the steps: obtaining various production scheduling related data based on a factory model, a production management system, an inventory management system, a sales management system and an equipment management system which are established in advance; performing production scheduling according to the various production scheduling related data, a predetermined production quantity standard and gross profit data of different products, and determining a production plan of a target time granularity; and carrying out production according to the production plan, obtaining order insertion data and / or production abnormal information in real time, and updating the production plan. At least efficient, collaborative and benefit-maximized production scheduling can be realized, multi-objective optimization, dynamic order insertion, multi-system data integration and real-time collaboration are supported, and the actual demand of the fine chemical industry field for efficient production scheduling is met.

The invention relates to the technical field of cold chain warehouse inventory management, in particular to a cold chain warehouse inventory management system based on big data analysis, which comprises a correlation factor determination module used for classifying a cold storage energy consumption related parameter set into a non-correlation parameter set and a correlation parameter set through a correlation model, and the correlation model is constructed based on an Apriori algorithm; the data filling module is used for generating filling parameters from the uncorrelated parameter set through a Lagrange interpolation method; the energy consumption prediction module is used for generating and predicting the energy consumption of the refrigeration house through an energy consumption prediction model by using the filling parameters and the associated parameter set, and the energy consumption prediction model is based on architecture construction of a time convolutional network fused gating circulation unit and an attention mechanism; and the cold chain warehouse inventory management module is used for managing the cold chain warehouse inventory according to the predicted energy consumption of the refrigeration house. According to the invention, intelligent cold-control inventory management of cold chain storage according to prediction of the energy consumption of the refrigeration house is realized.

The invention discloses a bulk commodity sales order management method and system based on a cloud platform, and particularly relates to the technical field of data management. Stock batch information is acquired in real time through a stock management system, stock scheduling is optimized according to sales order demands and warehouse geographic positions, and meanwhile, the system is integrated with API interfaces of multiple logistics suppliers to realize real-time association of logistics states and sales order data; in combination with inventory scheduling abnormity and logistics state analysis, consistency abnormity of cross-platform data synchronization and inventory batch management can be predicted, and corresponding early warning signals and processing suggestions are generated, so that the stability and response efficiency of a supply chain are improved, and the system performance is improved. The problems of mismatching and supply chain interruption caused by inconsistent data or insufficient inventory management are reduced, and smooth execution of bulk commodity sales orders is ensured.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem comprising a plurality of RFID interrogators that are each configured to read the unique identifier of the RFID tag associated with each of the plurality of items that are within a defined boundary of at least one scan zone generated by the respective RFID interrogator and to communicate the unique identifier of the each scanned RFID tag identified within each scan zone of the respective RFID interrogator to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem, a RFID interrogator subsystem and a multi-frequency interrogator subsystem for scanning RFID tags within a defined internal volume of a vehicle. The management system being selectively configured to include an occupancy detection system.

The invention relates to the field of electric digital data processing, and discloses an intelligent clothing inventory management system based on big data, which comprises the steps of deploying an edge computing unit at each inventory node, and constructing a distributed network; each edge calculation unit calculates and broadcasts an inventory potential energy value in real time based on the current inventory and a recent sales rate subjected to multi-source data cross validation; any node autonomously compares the potential energy gradient with the potential energy gradient of an adjacent node, and when the gradient meets a triggering condition, an inventory pulling request is actively generated. The inherent information delay and calculation bottleneck of centralized decision making are eradicated, it is ensured that each allocation is driven by a real market signal subjected to multi-dimensional verification, and then the whole inventory network shows high agility and ordered self-adaption characteristics.

The invention discloses an inventory management system based on order data, and relates to the technical field of intelligent warehousing, and the system comprises a priority evaluation module which calculates the allocation weight and the inventory allocation priority score between warehouses based on an inventory gap list, and generates a QUBO matrix; and the inventory allocation module is used for carrying out global optimal solution search by adopting a quantum annealing algorithm based on the QUBO matrix, carrying out decoding through a coding rule, generating an initial inventory allocation instruction set, carrying out optimization by adopting an MIL, generating an optimal inventory allocation instruction and executing the optimal inventory allocation instruction. According to the method, global optimal solution search is carried out by adopting a quantum annealing algorithm, and secondary optimization is carried out in combination with MILP, so that the overall cost minimization is realized on the premise that the generated allocation instruction meets complex business constraints.

An inventory visibility management system utilizes fixed or motorized cameras to scan inventory bearing shelves in a backroom or warehouse of a store, as opposed to store shelves where merchandise is available for purchase, for inventory frequently to keep the system up to date on what boxes of inventory are on the shelf, what is in those boxes and where those boxes are on the shelf. The system may identify a bounding polygon around an identifier corresponding to the product and apply the bounding polygon to a machine-learned model, which may generate a high-resolution crop of the identifier as output. The system registers the identifier to the first bounding polygon and to a location associated with cameras that captured the plurality of low-resolution images. Upon receiving a request from a client device, the system may provide the location associated with the one or more cameras to the client device.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem comprising at least one RFID interrogators that are each configured to read the unique identifier of the RFID tag associated with each of the plurality of items that are within a defined boundary of at least one scan zone generated by the plurality of antenna that are coupled to the at least one RFID interrogator and to communicate the unique identifier of the each scanned RFID tag identified within each scan zone to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

The invention provides a medical high-value consumable management system and method, electronic equipment and a storage medium, and the system comprises a high-value consumable management module which is also used for obtaining the tracing information of a high-value consumable according to a unique equipment identifier and a global unique identifier; the table following operation module is connected to an operation management system of a hospital and the high-value consumable management module, and is used for recording the consumption, the category and the use condition of the high-value consumables used in the operation process and synchronizing the consumption data to the inventory management system; the inventory management and replenishment decision module is used for acquiring real-time inventory information, storage cost and ordering fixed cost of the high-value consumables; the tracing and reporting module is used for generating a consumable use tracing report and an inventory change trend report, the management efficiency of medical high-value consumables can be remarkably improved, errors and resource waste caused by human intervention are reduced, a demand prediction method based on a long short-term memory (LSTM) network is adopted, the use trend of future consumables can be accurately estimated, and the management efficiency of the medical high-value consumables is improved. And the condition of stock overstock or shortage is effectively avoided.

An inventory management system for a fulfillment center that supports rapid scanning of inventory items using a handheld electronic device. The system comprises a processor, a non-transitory memory storing a plurality of inventory transaction tables, a data verification table, and a committed transaction table, an inventory application stored in the non-transitory memory that, when executed by the processor receives a plurality of scanned code inputs from a mobile application executing on a handheld scanner, writes each received scanned code input into an inventory transaction table, processes each received inventory transaction table, writes processed asset transactions to the data verification table, and in response to receiving a command to commit processed asset transactions, committing processed asset transactions to the committed transaction table.